> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Staff Software Engineer - Internal Apps

Canonical URL: https://nextmove.md/fde/jobs/8d499c7bfcb350c0

DDN posts a staff FDE role to build for teams inside the company in New York, NY, at $150,000–$185,000 base, below the staff+ FDE median of $225,000 across 388 postings with pay. Design, build, and operate full-stack internal applications for decision support and operational work. Read from the employer’s posting on November 8, 2026.

- [DDN](https://nextmove.md/fde/companies/ddn)

Posted Jul 21, 2026 by DDN · open on Ashby as of Nov 8, 2026

**$150,000–$185,000** + equity New York, NY Hybrid Full-time

Design, build, and operate full-stack internal applications for decision support and operational work.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F8d499c7bfcb350c0&placement=top)
- [View posting at DDN](https://jobs.ashbyhq.com/ddn/69712c7d-445e-4247-b18a-8eb2f9235a52/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$150K–$185K Below the median

Midpoint $168K · median $225K

This job $150K to $185K. Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Staff+

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** building production software

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Work arrangement**: Hybrid

- **Employment type**: Full-time

- **Pay**:

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## The job description from DDN

Posted by DDN on Jul 21, 2026

We’re looking for a Senior Software Engineer to build internal applications on top of DDN’s enterprise data platform. This is a largely greenfield charter — a new function dedicated to full-stack tools and AI-powered services for GTM, Finance, Support, and Product. We are building applications that surface data for decision-making *and* applications that improve and automate the operational processes that run the business. You’ll have early prototypes to learn from, but the mandate is to define this product portfolio and build it out. Data and analytics engineers own what’s underneath; the applications themselves — frontend, backend, deployment, model integration — are yours.

### What You’ll Own

- **Internal applications** — design, build, and operate full-stack web apps (FastAPI/Flask + React/TypeScript today, but technology choices are open) that put data and AI into stakeholders’ hands — both as decision-support interfaces and as purpose-built tools that let them do operational work
- **AI/LLM integration** — build features powered by LLMs and ML — classification, extraction, summarization, copilots, agentic workflows — choosing whichever models, providers, and frameworks fit the problem
- **Application infrastructure** — deploy and operate apps on GCP (App Engine, Cloud Run, GKE), connect them to the data platform, manage auth, own CI/CD and app security
- **Product surface** — define what good looks like for this new function: which problems are worth a custom app vs. a BI dashboard, what our reusable building blocks should be, and how we ship reliable, observable services people depend on
- **Collaboration** — partner with stakeholders to scope the right tool for the job, with analytics engineers to shape the underlying data models, and with data engineers on platform constraints

### Your Experience Includes

- 5+ years building production software, with meaningful time spent on full-stack web applications
- Strong Python — APIs (FastAPI, Flask, or similar), data access patterns, packaging, testing
- TypeScript/React (or comparable framework), component design, interactive data UIs
- Hands-on experience with GCP application services — App Engine, Cloud Run, GKE, IAM
- Strong SQL and comfort working with cloud data warehouses (BigQuery in our case) — you can write a query, understand its cost, and design an app’s data access layer around it
- Experience developing and deploying AI/LLM-powered applications in production — prompt design, structured output, evaluation, cost/latency tradeoffs, awareness that the model and tooling landscape changes quickly
- Experience operating what you ship — logging, monitoring, error handling, debugging in production
- Experience with software engineering best practices: CI/CD, automated testing, observability, secure application design
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

### Nice to Have

- Experience building AI-native applications such as text-to-SQL interfaces, copilots, agentic workflows, or automated insight-generation systems
- Hands-on experience with one or more LLM provider APIs (Anthropic’s Claude, OpenAI, Google, open-weight models, etc.) and agent frameworks (Claude Agent SDK, LangGraph, or similar)
- Experience with managed AI/ML platforms (Vertex AI, SageMaker, or similar) — model serving, embeddings, evaluation tooling
- Familiarity with dbt and modern data warehouse patterns from a consumer’s perspective
- Experience with Airflow for triggered jobs and background work
- Familiarity with Terraform for managing application infrastructure
- Background designing data-heavy UIs — tables, drill-downs, large result sets, interactive exploration
- Prior experience as the first or only application engineer on a data team — comfort owning the full lifecycle

[View posting at DDN](https://jobs.ashbyhq.com/ddn/69712c7d-445e-4247-b18a-8eb2f9235a52/application)

## About DDN

DDN develops high-performance storage and data-management platforms for AI, HPC, and other data-intensive workloads.

Late-stage private · 1000–2000 people

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- [Compare staff+ FDE salary ranges](https://nextmove.md/fde/salary/staff)
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